Physics Applications of Machine Learning and Data Science
Overview
Subject area
PHYS
Catalog Number
270
Course Title
Physics Applications of Machine Learning and Data Science
Department(s)
Description
A practical introduction to using machine learning to analyze experimental data and theoretical models in physics, chemistry, biology, and earth sciences. Provides contemporary skills valuable for careers in technology, including an introduction to MATLAB and Python. There is no specific required mathematics pre-requisite but some previous knowledge of college algebra, calculus, and computer programing ishelpful.
Typically Offered
Fall, Spring
Academic Career
Undergraduate
Liberal Arts
Yes
Credits
Minimum Units
3
Maximum Units
3
Academic Progress Units
3
Repeat For Credit
No
Components
Name
Lecture
Hours
3